GAIN: Missing Data Imputation using Generative Adversarial Nets

7 June 2018

Papers citing "GAIN: Missing Data Imputation using Generative Adversarial Nets"

50 / 308 papers shown

Title
Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects Zihan Hong Yushi Wu Zhiting Zhao Shanshan Feng Jianghong Ma Jiao Liu Tianjun Wei 3DV 36 0 0 20 Jun 2025
Stable CDE Autoencoders with Acuity Regularization for Offline Reinforcement Learning in Sepsis Treatment Yue Gao OffRL OOD AI4TS 22 0 0 17 Jun 2025
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation Yiming Wang Hao Peng Senzhang Wang Haohua Du Chunyang Liu Jia Wu Guanlin Wu AI4TS 40 0 0 09 Jun 2025
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Wenying He Jieling Huang Junhua Gu Ji Zhang Yude Bai DiffM 35 0 0 08 Jun 2025
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches Alexandre Hippert-Ferrer Aude Sportisse A. Javaheri Mohammed Nabil El Korso Daniel P. Palomar AI4TS 81 0 0 02 Jun 2025
CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation Aditya Gorla Ryan Wang Zhengtong Liu Ulzee An Sriram Sankararaman 39 0 0 02 Jun 2025
Score Matching With Missing Data Josh Givens Song Liu Henry W. J. Reeve 41 0 0 31 May 2025
Missing Data Imputation by Reducing Mutual Information with Rectified Flows Jiahao Yu Qizhen Ying Leyang Wang Z. L. Jiang Song Liu 82 0 0 16 May 2025
No Imputation of Missing Values In Tabular Data Classification Using Incremental Learning Manar D. Samad Kazi Fuad B. Akhter S. B. Rabbani Ibna Kowsar 74 0 0 20 Apr 2025
Temporal Dynamic Embedding for Irregularly Sampled Time Series Mincheol Kim Soo-Yong Shin AI4TS 61 0 0 08 Apr 2025
Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks Liang Zhang Jionghao Lin John Sabatini Diego Zapata-Rivera Carol Forsyth Yang Jiang John Hollander Xiangen Hu Arthur C. Graesser 130 0 0 23 Mar 2025
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels Seunghun Baek Jaeyoon Sim Guorong Wu Won Hwa Kim MedIm 134 1 0 03 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas Garg 128 2 0 03 Mar 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang Niki van Stein Thomas Bäck M. Leeuwen DiffM 132 0 0 24 Feb 2025
Imputation for prediction: beware of diminishing returns Marine Le Morvan Gaël Varoquaux AI4TS 215 4 0 21 Feb 2025
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things Mengran Li Junzhou Chen Chenyun Yu Guanying Jiang Ronghui Zhang Yanming Shen Houbing Song 109 3 0 20 Jan 2025
HI-PMK: A Data-Dependent Kernel for Incomplete Heterogeneous Data Representation Youran Zhou Mohamed Reda Bouadjenek Jonathan R. Wells Sunil Aryal 86 1 0 08 Jan 2025
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing Jinqiao Wang Kai Wang Yanzhe Zhang Wenjie Zhang Xiwei Xu Xuemin Lin 130 4 0 04 Jan 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu Meng Cao Songcan Chen AI4TS 133 2 0 17 Dec 2024
Scalable Early Childhood Reading Performance Prediction Zhongkai Shangguan Zanming Huang Eshed Ohn-Bar Ola Ozernov-Palchik Derek Kosty Michael Stoolmiller Hank Fien AI4Ed 123 1 0 05 Dec 2024
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond Loukas Ilias George Doukas Vangelis Lamprou Christos Ntanos D. Askounis MoE 140 1 0 04 Dec 2024
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu Meng Cao Songcan Chen AI4TS 117 1 0 02 Dec 2024
mDAE : modified Denoising AutoEncoder for missing data imputation Mariette Dupuy Marie Chavent Remi Dubois 157 1 0 19 Nov 2024
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph Zhaoyang Zhang Hongtu Zhu Ziqi Chen Yingjie Zhang Hai Shu 118 0 0 07 Nov 2024
Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems Sijie Dong Soror Sahri Themis Palpanas 82 0 0 05 Nov 2024
Reconstructing dynamics from sparse observations with no training on target system Zheng-Meng Zhai Jun-Yin Huang Benjamin D. Stern Y. Lai 82 1 0 28 Oct 2024
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation Shaokang Cheng Nada Osman Shiru Qu Lamberto Ballan DiffM 67 1 0 20 Oct 2024
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments Nikhil Bangad Vivekananda Jayaram Manjunatha Sughaturu Krishnappa Amey Ram Banarse Darshan Mohan Bidkar Akshay Nagpal Vidyasagar Parlapalli 65 2 0 11 Oct 2024
Machine Learning for Missing Value Imputation Abu Fuad Ahmad Khaznah Alshammari Istiaque Ahmed MD Shohel Sayed 115 1 0 10 Oct 2024
TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models Javier Solís-García Belén Vega-Márquez Juan A. Nepomuceno Isabel A. Nepomuceno-Chamorro Mamba AI4TS AI4CE 74 0 0 08 Oct 2024
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI Liang Zhang Jionghao Lin John Sabatini Conrad Borchers Daniel Weitekamp Meng Cao John Hollander Xiangen Hu Arthur C. Graesser 127 3 0 24 Sep 2024
A Missing Data Imputation GAN for Character Sprite Generation Flávio R. S. Coutinho Luiz Chaimowicz GAN 77 0 0 16 Sep 2024
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series Kohei Obata Koki Kawabata Yasuko Matsubara Yasushi Sakurai AI4TS 78 2 0 16 Sep 2024
Adapting to Shifting Correlations with Unlabeled Data Calibration Minh Le Nguyen Alan Q. Wang Heejong Kim Mert R. Sabuncu OOD 69 1 0 09 Sep 2024
Automated Machine Learning in Insurance Panyi Dong Zhiyu Quan OffRL 77 0 0 26 Aug 2024
An End-to-End Model for Time Series Classification In the Presence of Missing Values Pengshuai Yao Mengna Liu Xu Cheng Fan Shi Huan Li Xiufeng Liu Shengyong Chen AI4TS 77 0 0 11 Aug 2024
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation Jianping Zhou Junhao Li Guanjie Zheng Xinbing Wang Chenghu Zhou 93 8 0 11 Aug 2024
Tabular Transfer Learning via Prompting LLMs Jaehyun Nam Woomin Song Seong Hyeon Park Jihoon Tack Sukmin Yun Jaehyung Kim Kyu Hwan Oh Jinwoo Shin RALM LMTD VPVLM 130 5 0 09 Aug 2024
Table Transformers for Imputing Textual Attributes Ting-Ruen Wei Yuan Wang Yoshitaka Inoue Hsin-Tai Wu Yi Fang LMTD 74 0 0 04 Aug 2024
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI Lingxi Cui Huan Li Ke Chen Alexander Lerch Gang Chen LMTD 127 16 0 31 Jul 2024
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation Heejoon Koo 161 0 0 28 Jul 2024
White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging Yui Lo Yuqian Chen Fan Zhang Dongnan Liu L. Zekelman Suheyla Cetin Karayumak Yogesh Rathi Weidong Cai L. O’Donnell MedIm 99 3 0 28 Jul 2024
Generative Adversarial Networks for Imputing Sparse Learning Performance Liang Zhang Mohammed Yeasin Jionghao Lin Felix Havugimana Xiangen Hu 104 2 0 26 Jul 2024
Self-Supervision Improves Diffusion Models for Tabular Data Imputation Yixin Liu Thalaiyasingam Ajanthan Hisham Husain Vu-Linh Nguyen 99 12 0 25 Jul 2024
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM YiHeng Huang Xiaowei Mao Shengnan Guo Yubin Chen Junfeng Shen Tiankuo Li Youfang Lin Huaiyu Wan AI4TS 107 2 0 12 Jul 2024
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data Siyi Du Shaoming Zheng Yinsong Wang Wenjia Bai D. O’Regan Chen Qin LMTD 99 6 0 10 Jul 2024
Unmasking Trees for Tabular Data Calvin McCarter 108 3 0 08 Jul 2024
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities Julie Mordacq Léo Milecki Maria Vakalopoulou Steve Oudot Vicky Kalogeiton OffRL MedIm 81 4 0 04 Jul 2024
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation Mario Villaizán-Vallelado Matteo Salvatori Carlos Segura Ioannis Arapakis MedIm DiffM 116 8 0 02 Jul 2024
Explainability of Machine Learning Models under Missing Data Tuan L. Vo T. Nguyen Hugo Lewi Hammer Michael A. Riegler Pål Halvorsen Pal Halvorsen 181 3 0 29 Jun 2024